ABSTRACT
Purpose: The goal of the research was to discover the key metrics needed to shape next-generation retailing in India using predictive analytics.
Design/Research Methodology/approach: The aims of the research study were investigated using factor analysis.
Findings: The article emphasises the importance of merchants adopting a new approach to keep their customers for extended periods of time. Providing customers with a product or service has become almost a commodity. In order to fully satisfy their customers, retailers are expected to step up their game in the ever-growing retail market.
Research Implications: In order to fully satisfy their customers, retailers are expected to step raise their efforts in the ever-growing retail market.
Scope for future work / Research limitations: Consumer transformation has indeed begun to have a significant impact on the future of retailing in India. As a result, retailers must adopt a strategy to understand what their customers want from them in relation to their product or service, and delicate their processes more effectively.
Originality/value: The majority of research on predictive analytics or big data analytics has focused on the value of their application in the retail business. As a result, the focus of this research is to investigate the core aspects identified with the help of predictive analytics that the retail business must embrace in order to thrive during times of dynamic layout.
Keywords: Retailing, span of time, retailers, shopping pattern
Paper Type: Research Paper
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